Foundations of AI in BFSI
Gain an understanding of the fundamentals of AI, ML, and DL, and how they are used in the BFSI industry.
Learn how AI, ML, and advanced analytics are revolutionizing fraud detection, risk management, customer personalization, and operational efficiency in BFSI. Build the expertise to apply AI-driven solutions for smarter financial decision-making and future-ready careers
No application fee • Limited seats
Gain an understanding of the fundamentals of AI, ML, and DL, and how they are used in the BFSI industry.
Examine AI applications in cybersecurity, market risk, fraud detection, and credit risk.
Discover how AI can improve consumer engagement, personalization, and operational efficiency.
Examine AI applications from distribution to underwriting throughout the insurance lifecycle.
Recognize the security, privacy, fairness, and regulatory facets of responsible AI in BFSI
Assess AI solutions according to integration, explainability, compliance, and data quality.
Discover upcoming AI developments in BFSI and gain knowledge from practical application examples.
5 modules • 51hours total length

No prior programming experience is required; however, a comfort level with data interpretation and analytical thinking is preferred.
Ideal for individuals with experience or interest in banking, financial services, insurance, or business strategy.
Suitable for students, working professionals, and consultants looking to harness AI for smarter decision-making in the BFSI sector.
BFSI professionals and specialists in banking, insurance, financial services, risk, compliance, and fraud detection, product managers, digital banking leaders, consultants in BFSI and FinTech, students and early-career professionals in finance/analytics, entrepreneurs in FinTech, InsurTech, and WealthTech.
Earn a recognized certificate that can be put up on your LinkedIn profile to enhance your career prospects. Digital certificate upon successful completion; aligned with global recognition frameworks for mobility.


Hands-on ML Engineer scaling AI apps in HR Tech, CPG, e-gov and telecom. Led teams shipping production models end-to-end data to deployment, with monitoring. Works with CXOs and cross-functional teams on AI vision, roadmap and execution.
Join live sessions, learn with guided materials, and build a practical capstone.
This program is designed for a wide range of learners across the financial ecosystem, including professionals in banking, insurance, and financial services, as well as risk, compliance, and fraud specialists, and product managers and digital banking leaders driving innovation. It is equally valuable for consultants in BFSI and FinTech, students and early-career professionals in finance or analytics, and entrepreneurs building ventures in FinTech, InsurTech, or WealthTech.
The program offers a flexible learning format. You’ll have access to live classes with faculty experts, recorded sessions for on-demand learning, and an interactive webinar. Learners also receive guided demonstrations of AI tools used in banking, financial services, and insurance.
No. However, a basic familiarity with programming (preferably Python) and statistics may give you an added advantage.
Graduates of the program can explore diverse, high-demand roles in AI and financial services, such as:
AI in BFSI Specialist: Drive AI-led transformation in banks, NBFCs, and insurance companies by applying machine learning models to optimize credit scoring, portfolio management, and customer personalization.
Risk Analytics Consultant: Assess and mitigate financial, operational, and market risks by building predictive AI models that enhance decision-making and regulatory compliance.
Fraud Detection Analyst: Use advanced AI/ML algorithms to detect unusual patterns, prevent fraudulent transactions, and safeguard financial institutions against cyber and identity threats.
Digital Banking Product Manager: Lead the design and rollout of AI-powered digital banking solutions, from customer onboarding to personalized lending and payments.
WealthTech/FinTech Strategist: Develop innovative AI-driven products and business strategies for FinTech startups and WealthTech firms, enabling smarter investment advisory and financial planning.
Insurance Analytics Specialist: Leverage AI to streamline claims management, policy underwriting, and customer engagement within the insurance sector.
Compliance & AI Governance Lead: Ensure AI solutions meet regulatory, ethical, and data governance standards while aligning with global BFSI compliance frameworks.
This 3-month certification program goes beyond theory by focusing on AI applications in fraud detection, credit risk, compliance, customer analytics, and operational efficiency. Learners gain practical experience with AI tools designed for the BFSI sector, preparing them for high-demand roles in banking, financial services, and insurance. Online and recorded sessions make this certification program highly flexible.
Yes, upon successful completion of the course modules and assessments, you will receive a recognized certificate in AI in BFSI from Amity Online. The certificates will recognize different achievement levels of the learners, such as completion, attendance, and excellence (merit/distinction).
Absolutely. The program is designed with flexibility in mind. Online delivery, modular structure, and recorded lectures make it possible to balance learning with professional commitments.
